International Journal of Control, Automation and Systems 2022; 20(4): 1076-1086
Published online April 2, 2022
https://doi.org/10.1007/s12555-021-0265-z
© The International Journal of Control, Automation, and Systems
This paper addresses the issues of time delay and deception attacks in networked control systems. An event-based secure networked predictive control system (ESNPCS) architecture is proposed. The ESNPCS integrates a secure transmission protocol and an event-based networked predictive control. The secure transmission protocol guarantees the integrity, confidentiality and authenticity of transmitted data in networked control systems. The networked predictive control compensates time delay based on the control signal prediction sequence derived from the previous states, control inputs and outputs. The event-based control method alleviates the adverse influence of network congestion through the event trigger conditions. A theoretical result using the Lyapunov theory is obtained for the stability of the ESNPCS. Practical experiments are implemented to demonstrate the effectiveness of the proposed ESNPCS.
Keywords Event-driven, networked control systems, networked predictive control, secure transmission protocol, stability, time delay.
International Journal of Control, Automation and Systems 2022; 20(4): 1076-1086
Published online April 1, 2022 https://doi.org/10.1007/s12555-021-0265-z
Copyright © The International Journal of Control, Automation, and Systems.
Biao Xiang, Xia Liu*, and Yong Chen
Xihua University
This paper addresses the issues of time delay and deception attacks in networked control systems. An event-based secure networked predictive control system (ESNPCS) architecture is proposed. The ESNPCS integrates a secure transmission protocol and an event-based networked predictive control. The secure transmission protocol guarantees the integrity, confidentiality and authenticity of transmitted data in networked control systems. The networked predictive control compensates time delay based on the control signal prediction sequence derived from the previous states, control inputs and outputs. The event-based control method alleviates the adverse influence of network congestion through the event trigger conditions. A theoretical result using the Lyapunov theory is obtained for the stability of the ESNPCS. Practical experiments are implemented to demonstrate the effectiveness of the proposed ESNPCS.
Keywords: Event-driven, networked control systems, networked predictive control, secure transmission protocol, stability, time delay.
Vol. 22, No. 9, pp. 2673~2953
Yang Ge*, Jingcheng Wang*, and Chuang Li
International Journal of Control, Automation and Systems 2014; 12(2): 241-250Daixi Liao*, Shouming Zhong, Jun Cheng, Kaibo Shi, Shaohua Long, and Can Zhao
International Journal of Control, Automation, and Systems 2024; 22(5): 1537-1544Chuan-Dong Bai, Tong Mu, Zhong-Hua Pang*, Jian Sun, and Guo-Ping Liu
International Journal of Control, Automation and Systems 2023; 21(2): 475-484